The model has secured top rankings across multiple independent industry benchmarks, including CursorBench 4.0, AutomationBench, and the General Financial Intelligence benchmark. It also introduces advanced cybersecurity features capable of finding vulnerabilities and generating verified root-cause patches, which were earlier piloted through the Fairwind Program. In addition, Google is previewing a multi-agent coordination feature called /swarm within Google Antigravity. API access is set at $2 per million input tokens and $10 per million output tokens.
Key points
The system achieves top placements on prominent software and financial benchmarks such as…: The system achieves top placements on prominent software and financial benchmarks such as CursorBench 4.0 and WANDR.
Security teams can utilize specialized capabilities evaluated on SEC-bench Pro to trace l…: Security teams can utilize specialized capabilities evaluated on SEC-bench Pro to trace linked vulnerabilities and patch system flaws.
The model expands capabilities for complex enterprise, scientific research, and legal tas…: The model expands capabilities for complex enterprise, scientific research, and legal tasks requiring dense data synthesis.
Sources checked by our analysis pipeline: 1
Today, we’re making Gemini 4 Carbon available to developers, enterprises, scientists, and consumers. Carbon is our strongest model with frontier performance in cybersecurity capabilities and long-horizon agentic workflows across complex knowledge work, software engineering, and scientific reasoning.
Two weeks ago, we released Carbon to a set of cybersecurity defenders via our Fairwind Program. Following our recent launch of Gemini 4 Argon, Carbon pushes the frontier even further. Argon remains the ideal choice for the majority of software engineering and knowledge work, while Carbon is built for tasks that test the limits of a model’s intelligence like complex, multi-step coding and debugging and open-ended scientific research and discovery — using more tokens than Argon to explore thoroughly, reason deeply, and run extended verification loops.
Across independent benchmarks designed to test model performance in real workflows, Carbon pairs frontier accuracy with practical production economics. It ranks #1 on CursorBench 4.0, Perplexity’s WANDR, and Zapier’s AutomationBench at more than 2X lower cost per task compared to the next best external model.
To put Carbon’s capabilities to work on larger and complex projects, we’re…
A new beta hub allows verified enterprises to manage their presence and launch specialized agents for direct customer inquiries on the artificial intelligence platform. This strategic pivot focuses on commercial discovery and engagement tracking rather than facilitating direct e-commerce transactions. The transition positions the service closer to established search engines by serving as an informational directory for consumers.
The latest rollout introduces tools that facilitate direct communication between enterprises and everyday consumers on the AI platform. Organizations gain the ability to establish an official presence through a dedicated hub while deploying automated agents to connect with an audience. This move expands the software's functional scope into corporate customer engagement.
Developed by Amazon Connect Customer, this newly released open-source system enables enterprises to run predictive analytics across structured business data without creating bespoke machine learning setups for every task. By using in-context learning to infer missing values from unseen tables, it reduces the friction of deploying tailored algorithms. The release is published under an Apache-2.0 license on Hugging Face to broaden commercial and research adoption.